contributor-spotlight

Generate weekly recognition posts from fork-cohort data for fork operators.

Updated Jun 2, 2026
One-click install
npx skills add https://github.com/Atrium-Hermes/atrium-lighthouse --skill contributor-spotlight-atrium-hermes
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: contributor-spotlight
Source: https://github.com/Atrium-Hermes/atrium-lighthouse/tree/main/skills/contributor-spotlight
Command: npx skills add https://github.com/Atrium-Hermes/atrium-lighthouse --skill contributor-spotlight-atrium-hermes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Weekly recognition for fork operators is often inconsistent and manual. The contributor-spotlight skill automates turning fork-cohort data into a named human moment, creating a repeatable callout for the operator and their work.

Core Features & Use Cases

  • Reads the most recent POWER or ACTIVE fork from the fork-cohort data and selects a candidate that has not been featured in the last four weeks.
  • Generates a concise, 140-180 word recognition paragraph and writes it as an article under articles/contributor-spotlight-<date>.md, while updating memory topics and the spotlight history.
  • Produces a tweetable artifact by formatting the recognition for downstream thread formatting and notifies Aeon's channels when not in dry-run mode.

Quick Start

Convert the latest fork-cohort data into a published contributor spotlight article and update memory/history.

Frequently Asked Questions about contributor-spotlight

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate weekly community recognition posts for contributors?

Automate weekly community recognition by reading fork-cohort data, selecting an unfeatured candidate, generating a 140-180 word article, and updating memory and history logs.

What is the best way to generate a contributor spotlight from fork-cohort data?

Generate a contributor spotlight by reading the most recent POWER or ACTIVE fork, creating a concise recognition article, and writing the output to articles/contributor-spotlight-date.md.

Can I format contributor recognition articles for social media threads?

Format recognition articles for social media by producing a tweetable artifact formatted for downstream thread distribution and notifying channels when not in dry-run mode.

Does the automated spotlight avoid repeating the same fork operators?

The automated spotlight avoids repeating operators by reading cohort state and selecting a candidate that has not been featured in the last four weeks.

What are the limitations of using a weekly cadence for contributor recognition?

Using a weekly cadence limits recognition to one post per cycle and restricts selection to POWER or ACTIVE forks, requiring cohort state history to prevent recent repetition.